Connexion

HAWAII PUNCH
GP: 79 | W: 38 | L: 34 | OTL: 7 | P: 83
GF: 239 | GA: 282 | PP%: 21.02% | PK%: 75.21%
DG: Sean S | Morale : 49 | Moyenne d’équipe : 63
Prochains matchs #883 vs SAN JOSE AVACADOES
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Centre de jeu
HAWAII PUNCH
38-34-7, 83pts
1
FINAL
2 NORTH VAN ROCKERS
41-27-12, 94pts
Team Stats
W1SéquenceW1
23-16-1Fiche domicile20-18-2
15-18-6Fiche domicile21-9-10
5-4-1Derniers 10 matchs6-2-2
3.03Buts par match 3.29
3.57Buts contre par match 3.06
21.02%Pourcentage en avantage numérique17.32%
75.21%Pourcentage en désavantage numérique73.15%
PHILADELPHIA PHANTOMS
47-27-7, 101pts
4
FINAL
5 HAWAII PUNCH
38-34-7, 83pts
Team Stats
L1SéquenceW1
24-14-1Fiche domicile23-16-1
23-13-6Fiche domicile15-18-6
5-5-0Derniers 10 matchs5-4-1
3.53Buts par match 3.03
2.83Buts contre par match 3.57
25.43%Pourcentage en avantage numérique21.02%
78.60%Pourcentage en désavantage numérique75.21%
SAN JOSE AVACADOES
30-40-8, 68pts
Jour 147
HAWAII PUNCH
38-34-7, 83pts
Statistiques d’équipe
L1SéquenceW1
18-19-3Fiche domicile23-16-1
12-21-5Fiche visiteur15-18-6
2-7-110 derniers matchs5-4-1
2.60Buts par match 3.03
3.15Buts contre par match 3.03
19.87%Pourcentage en avantage numérique21.02%
75.74%Pourcentage en désavantage numérique75.21%
HAWAII PUNCH
38-34-7, 83pts
Jour 151
PHILADELPHIA PHANTOMS
47-27-7, 101pts
Statistiques d’équipe
W1SéquenceL1
23-16-1Fiche domicile24-14-1
15-18-6Fiche visiteur23-13-6
5-4-110 derniers matchs5-5-0
3.03Buts par match 3.53
3.57Buts contre par match 3.53
21.02%Pourcentage en avantage numérique25.43%
75.21%Pourcentage en désavantage numérique78.60%
SAN JOSE AVACADOES
30-40-8, 68pts
Jour 153
HAWAII PUNCH
38-34-7, 83pts
Statistiques d’équipe
L1SéquenceW1
18-19-3Fiche domicile23-16-1
12-21-5Fiche visiteur15-18-6
2-7-110 derniers matchs5-4-1
2.60Buts par match 3.03
3.15Buts contre par match 3.03
19.87%Pourcentage en avantage numérique21.02%
75.74%Pourcentage en désavantage numérique75.21%
Meneurs d'équipe
Buts
Jesper Boqvist
36
Passes
Ryan Poehling
44
Points
Ryan Poehling
79
Plus/Moins
Ryan Poehling
20
Victoires
Vitek Vanecek
23
Pourcentage d’arrêts
Vitek Vanecek
0.897

Statistiques d’équipe
Buts pour
239
3.03 GFG
Tirs pour
2382
30.15 Avg
Pourcentage en avantage numérique
21.0%
37 GF
Début de zone offensive
35.0%
Buts contre
282
3.57 GAA
Tirs contre
2457
31.10 Avg
Pourcentage en désavantage numérique
75.2%%
58 GA
Début de la zone défensive
37.7%
Informations de l'équipe

Directeur généralSean S
EntraîneurAndy Rogers
DivisionNorris
ConférenceNeid Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,963
Billets de saison300


Informations de la formation

Équipe Pro37
Équipe Mineure22
Limite contact 59 / 66
Espoirs0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Ryan PoehlingXX100.00531769969895957974747766548987044761253850,000$
2Philip Tomasino (R)XX100.00221186928576777658756365658077066701223650,000$
3Jesper Boqvist (R)XXX100.0032986898689847570636569578670068702251700,000$
4Connor McMichael (R)XX100.0015988828282777870707063597164024681235825,000$
5Tomas JurcoX100.003632706377827568577070746193850686823111,579,435$
6Lukas Reichel (R)XX100.00291473808486797251696664587366025671211650,000$
7Dylan Guenther (R)X100.00502473908478796251736256706480066671202800,000$
8Jan Jenik (R)X100.0057774877475796950596161668662068662233650,000$
9Juuso Pärssinen (R)XX100.0028188787674766454685761537655058632231550,000$
10Logan Cooley (R)X100.00443765677368716566646461686972066631193900,000$
11Matthew Knies (R)XXX100.0025576777867766955626062535970034622212700,000$
12Andrei AltybarmakyanX100.00683556737572756037545467557362068622251550,000$
13Alex Vlasic (R)X99.00623087848672796744646457446955066662223600,000$
14Robert BortuzzoX99.00969525598056745850615567478893023660352886,000$
15T.J. BrodieX100.00898725647660774833716158489787055650332859,000$
16Jett Woo (R)X100.0013287667880676544646164587971036622233650,000$
17Brycen MartinX100.00586755618066595640544460456973024592271500,000$
18Cameron Whynot (R)X100.00816066607160605644535061445852037592202550,000$
Rayé
1Patrice CormierXX100.0030139955826767708769626657999606640332868,000$
2Jack Drury (R)XX100.00351476797477756363575953607069053622243600,000$
3Ivan Miroshnichenko (R)XXX100.0014891767274705859615964676569050611203800,000$
4Akil Thomas (R)X100.0026199737174715639655549447966020592244650,000$
5Gustav NyquistX100.00999811647447755982625831478989019580342888,999$
6Cal ClutterbuckXX100.00894278567860635645534749579698020580361500,000$
7Mikhail Abramov (R)X100.005590687260645853546058656262020562231500,000$
8Ty Voit (R)XX100.00495753677157605445515159485158020552202500,000$
9Brandt Clarke (R)X93.23672169667573706844696369566369047661212800,000$
10Mike WeberX100.00854973578053584950554958619485019610361500,000$
11Kevin Bahl (R)X100.00441292717672775540484163447562037612243715,000$
12Calle Odelius (R)X100.0018889706768725844635864455965020592193600,000$
13Haakon Hänelt (R)XXXX100.00736741686758584967545157486058020582202550,000$
14Luke Prokop (R)X100.00341975657767655644565358476549020572211550,000$
MOYENNE D’ÉQUIPE99.7348307172777072625362586055757104063
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Vitek Vanecek96.0067688178757173737172668571069722282650,000$
2Eddie Lack100.0067697279737374716965619673033710352849,000$
Rayé
1Sam Montembeault100.0067706982685865616766609071050672263702,000$
2Colton Point100.0059586084686061616055586848020612261600,000$
3Joel Hofer (R)100.0063636383655050556061607965020612235550,000$
MOYENNE D’ÉQUIPE99.206566698170626564656461846603866
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andy Rogers51777572517669CAN372800,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Ryan PoehlingHAWAII PUNCH (HAW)C/LW7935447920360162962468213414.23%40136417.279514261321015713254.70%10537633221.1612000585
2Jesper BoqvistHAWAII PUNCH (HAW)C/LW/RW79364379-4807613329111617112.37%31169021.40118192615411272058246.00%2008724010.9339000932
3Philip TomasinoHAWAII PUNCH (HAW)C/RW77323870-1380601142487017012.90%32136117.6899181914520210864444.67%4976928011.0306000625
4Lukas ReichelHAWAII PUNCH (HAW)C/LW7934356912601061082268315315.04%39152919.365712151350000187146.65%10764929010.9005000463
5Jan JenikHAWAII PUNCH (HAW)RW792730573160129952698415210.04%37125015.822248430000683345.57%797127000.9103000364
6Logan CooleyHAWAII PUNCH (HAW)C771831491480113121135397913.33%26135517.60371081090001193249.11%12872333100.7212000222
7Dylan GuentherHAWAII PUNCH (HAW)RW72153146-537511986178421058.43%33132618.430555780223500133.80%715626000.6912100135
8Connor McMichaelHAWAII PUNCH (HAW)C/LW67172441-2209821495510111.41%1396114.368614131240000132158.82%1363113010.8501000313
9Juuso PärssinenHAWAII PUNCH (HAW)C/LW78142539-19204784138478510.14%30120515.45310138710000582146.37%5372417000.6500000113
10Matty BeniersHAWAII TYPHOONC56152338-1003975129408311.63%1794716.9124661360000362154.74%4752614000.8011000202
11Alex VlasicHAWAII PUNCH (HAW)D7932932-16141015112610554462.86%115210726.6703371590333227000%04073100.3011011021
12Seth JarvisHAWAII TYPHOONC/LW/RW4361925519541258026467.50%1343010.020556431122611048.05%4622410011.1612001310
13Matthew KniesHAWAII PUNCH (HAW)C/LW/RW50141125-580286474293918.92%2885917.180444662024763139.31%6081819000.5812000230
14T.J. BrodieHAWAII PUNCH (HAW)D7511920-219050212906630181.52%69140818.780112710110103010%01927000.2800342101
15Brandt ClarkeHAWAII PUNCH (HAW)D58218203220131787325192.74%68135123.3006681540002112100%0852000.3000000200
16Andrei AltybarmakyanHAWAII PUNCH (HAW)RW799918-113201387074214512.16%2697512.351232420002301041.77%791320000.3700000114
17Tomas JurcoHAWAII PUNCH (HAW)RW798917-5100606680295610.00%3282210.41011014000060244.90%491618000.4100000012
18Jack DruryHAWAII PUNCH (HAW)C/LW6761016-1214028366331409.52%1269510.3800001000023044.78%67913000.4600000100
19Calle OdeliusHAWAII PUNCH (HAW)D3401212540542298130%2962118.28000233000022000%0616000.3900000010
20Kevin BahlHAWAII PUNCH (HAW)D51281000030422712127.41%4185816.83011158000168000%0223000.2300000001
21Ivan MiroshnichenkoHAWAII PUNCH (HAW)C/LW/RW59459-5205484218239.52%95579.441121130002250059.18%491310000.3222000002
22Robert BortuzzoHAWAII PUNCH (HAW)D51099-25842017265382090%5599019.41000129000285000%0738000.1800121010
23Brycen MartinHAWAII PUNCH (HAW)D12156140281163116.67%1123219.4200003000011010%005000.5200000001
24Jett WooHAWAII PUNCH (HAW)D64066-17009654116180%4693814.66011062000040000%01936000.1300000000
25Cameron WhynotHAWAII PUNCH (HAW)D4004442010533417890%2353013.2700006000036000%0216000.1500002000
26Marko DanoHAWAII TYPHOONC/LW/RW22132002181425.00%04221.05000040000400100.00%124001.4300000010
27Patrice CormierHAWAII PUNCH (HAW)C/LW9022-100021240%0333.680000000000000%010001.2100000000
28Haakon HäneltHAWAII PUNCH (HAW)C/LW/RW/D611211758732133.33%36911.5900000000070037.14%3500000.5800001000
29Gustav NyquistHAWAII PUNCH (HAW)RW1301116020510570%314711.320000000000000%113000.1400000000
30Mike WeberHAWAII PUNCH (HAW)D26011-1121032168720%2036313.98000024000012000%018000.0600020000
31Mikhail Abramov HAWAII PUNCH (HAW)C2000000000000%021.350000000001000%00000000000000
32Luke Prokop HAWAII PUNCH (HAW)D4000000061100%14912.340000000001000%00100000000000
33Akil ThomasHAWAII PUNCH (HAW)C2000-300033020%02412.4100000000000033.33%181000000000000
34Ty VoitHAWAII PUNCH (HAW)C/LW2000200301020%02814.230000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1650302503805-986411152016189628591006164910.56%9022713316.44548814216819237815441569432348.20%6780714636470.591238598464346
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Vitek VanecekHAWAII PUNCH (HAW)48232050.8973.172892401531486737400.579194819440
2Samuel ErssonHAWAII TYPHOON156800.8534.5284920644342340000147000
3Sam MontembeaultHAWAII PUNCH (HAW)95210.8943.314712026246129100.72711818010
4Eddie LackHAWAII PUNCH (HAW)104410.8803.4956700332751390000933000
5Joel HoferHAWAII PUNCH (HAW)102600.8594.785150041290172100.5004811000
Statistiques d’équipe totales ou en moyenne92404070.8843.595296803172731141160348788450


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Akil ThomasHAWAII PUNCH (HAW)C241/2/2000 7:29:24 AMYes178 Lbs5 ft11NoNoN/ANoNo4Pro & Farm650,000$49,682$40,000$3,057$65,000$4,968$No650,000$650,000$650,000$------NoNoNo------
Alex VlasicHAWAII PUNCH (HAW)D226/1/2001 6:19:01 AMYes207 Lbs6 ft1NoNoN/ANoNo3Pro & Farm600,000$45,860$40,000$3,057$60,000$4,586$No600,000$600,000$-------NoNo-------
Andrei AltybarmakyanHAWAII PUNCH (HAW)RW258/4/1998 8:02:44 AMNo194 Lbs6 ft4NoNoN/ANoYes1Pro & Farm550,000$42,038$40,000$3,057$55,000$4,204$No------------------
Brandt ClarkeHAWAII PUNCH (HAW)D212/9/2003 7:07:22 AMYes201 Lbs6 ft2NoNoTrade2/6/2024NoNo2Pro & Farm800,000$61,146$40,000$3,057$80,000$6,115$No800,000$--------No--------
Brycen MartinHAWAII PUNCH (HAW)D276/1/1996 5:56:11 AMNo224 Lbs6 ft4NoNoN/ANoYes1Pro & Farm500,000$38,217$40,000$3,057$50,000$3,822$No------------------
Cal ClutterbuckHAWAII PUNCH (HAW)LW/RW3611/18/1987No226 Lbs5 ft11NoNoN/ANoYes1Pro & Farm500,000$38,217$40,000$3,057$50,000$3,822$No------------------
Calle OdeliusHAWAII PUNCH (HAW)D195/30/2004 9:46:27 AMYes183 Lbs6 ft0NoNoN/ANoNo3Pro & Farm600,000$45,860$40,000$3,057$60,000$4,586$No600,000$600,000$-------NoNo-------
Cameron WhynotHAWAII PUNCH (HAW)D206/1/2003 7:09:47 AMYes225 Lbs6 ft4NoNoN/ANoNo2Pro & Farm550,000$42,038$40,000$3,057$55,000$4,204$No550,000$--------No--------
Colton PointHAWAII PUNCH (HAW)G263/4/1998 3:36:57 AMNo232 Lbs6 ft4NoNoN/ANoYes1Pro & Farm600,000$45,860$40,000$3,057$60,000$4,586$No------------------
Connor McMichaelHAWAII PUNCH (HAW)C/LW231/15/2001 5:48:11 AMYes193 Lbs6 ft0NoNoTrade2/5/2024NoNo5Pro & Farm825,000$63,057$40,000$3,057$82,500$6,306$No825,000$825,000$825,000$825,000$-----NoNoNoNo-----
Dylan GuentherHAWAII PUNCH (HAW)RW204/10/2003 7:18:15 AMYes180 Lbs6 ft6NoNoN/ANoNo2Pro & Farm800,000$61,146$40,000$3,057$80,000$6,115$No800,000$--------No--------
Eddie LackHAWAII PUNCH (HAW)G358/5/1988No202 Lbs6 ft4NoNoN/ANoYes2Pro & Farm849,000$64,892$40,000$3,057$84,900$6,489$No849,000$--------No--------
Gustav NyquistHAWAII PUNCH (HAW)RW349/1/1989No199 Lbs5 ft11NoNoN/ANoYes2Pro & Farm888,999$67,949$40,000$3,057$88,900$6,795$No888,999$--------No--------
Haakon HäneltHAWAII PUNCH (HAW)C/LW/RW/D206/1/2003 8:11:06 AMYes184 Lbs6 ft2NoNoN/ANoNo2Pro & Farm550,000$42,038$40,000$3,057$55,000$4,204$No550,000$--------No--------
Ivan MiroshnichenkoHAWAII PUNCH (HAW)C/LW/RW202/4/2004 6:04:57 AMYes185 Lbs6 ft1NoNoN/ANoNo3Pro & Farm800,000$61,146$40,000$3,057$80,000$6,115$No800,000$800,000$-------NoNo-------
Jack DruryHAWAII PUNCH (HAW)C/LW242/3/2000 7:12:59 AMYes193 Lbs6 ft2NoNoN/ANoNo3Pro & Farm600,000$45,860$40,000$3,057$60,000$4,586$No600,000$600,000$-------NoNo-------
Jan JenikHAWAII PUNCH (HAW)RW239/15/2000 4:09:13 AMYes190 Lbs6 ft2NoNoN/ANoNo3Pro & Farm650,000$49,682$40,000$3,057$65,000$4,968$No650,000$650,000$-------NoNo-------
Jesper BoqvistHAWAII PUNCH (HAW)C/LW/RW2510/30/1998 1:15:58 AMYes180 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$53,503$40,000$3,057$70,000$5,350$No------------------
Jett WooHAWAII PUNCH (HAW)D237/27/2000 7:04:26 AMYes216 Lbs6 ft1NoNoN/ANoNo3Pro & Farm650,000$49,682$40,000$3,057$65,000$4,968$No650,000$650,000$-------NoNo-------
Joel HoferHAWAII PUNCH (HAW)G237/30/2000 5:40:51 AMYes179 Lbs6 ft5NoNoN/ANoNo5Pro & Farm550,000$42,038$40,000$3,057$55,000$4,204$No550,000$550,000$550,000$550,000$-----NoNoNoNo-----
Juuso PärssinenHAWAII PUNCH (HAW)C/LW232/1/2001 6:54:06 AMYes203 Lbs6 ft3NoNoTrade2/5/2024NoNo1Pro & Farm550,000$42,038$40,000$3,057$55,000$4,204$No------------------
Kevin BahlHAWAII PUNCH (HAW)D246/1/1999 7:36:19 AMYes207 Lbs6 ft1NoNoN/ANoNo3Pro & Farm715,000$54,650$40,000$3,057$71,500$5,465$No715,000$715,000$-------NoNo-------
Logan CooleyHAWAII PUNCH (HAW)C195/4/2004 5:06:20 AMYes174 Lbs5 ft10NoNoN/ANoNo3Pro & Farm900,000$68,790$40,000$3,057$90,000$6,879$No900,000$900,000$-------NoNo-------
Lukas ReichelHAWAII PUNCH (HAW)C/LW215/17/2002 8:10:48 AMYes178 Lbs6 ft2NoNoN/ANoNo1Pro & Farm650,000$49,682$40,000$3,057$65,000$4,968$No------------------
Luke Prokop HAWAII PUNCH (HAW)D216/1/2002 7:57:51 AMYes208 Lbs6 ft4NoNoN/ANoNo1Pro & Farm550,000$42,038$40,000$3,057$55,000$4,204$No------------------
Matthew KniesHAWAII PUNCH (HAW)C/LW/RW2110/17/2002 7:12:01 AMYes213 Lbs6 ft3NoNoN/ANoNo2Pro & Farm700,000$53,503$40,000$3,057$70,000$5,350$No700,000$--------No--------
Mike WeberHAWAII PUNCH (HAW)D3612/16/1987No226 Lbs6 ft2NoNoN/ANoYes1Pro & Farm500,000$38,217$40,000$3,057$50,000$3,822$No------------------
Mikhail Abramov HAWAII PUNCH (HAW)C233/26/2001 2:48:57 AMYes189 Lbs6 ft0NoNoN/ANoNo1Pro & Farm500,000$38,217$40,000$3,057$50,000$3,822$No------------------
Patrice CormierHAWAII PUNCH (HAW)C/LW336/14/1990No238 Lbs6 ft2NoNoN/ANoYes2Pro & Farm868,000$66,344$40,000$3,057$86,800$6,634$No868,000$--------No--------
Philip TomasinoHAWAII PUNCH (HAW)C/RW227/28/2001 5:03:33 AMYes187 Lbs6 ft2NoNoN/ANoNo3Pro & Farm650,000$49,682$40,000$3,057$65,000$4,968$No650,000$650,000$-------NoNo-------
Robert BortuzzoHAWAII PUNCH (HAW)D353/18/1989No227 Lbs6 ft4NoNoN/ANoYes2Pro & Farm886,000$67,720$40,000$3,057$88,600$6,772$No886,000$--------No--------
Ryan PoehlingHAWAII PUNCH (HAW)C/LW251/3/1999 5:41:46 AMNo203 Lbs6 ft6NoNoTrade3/4/2024NoYes3Pro & Farm850,000$64,968$40,000$3,057$85,000$6,497$No850,000$850,000$-------NoNo-------
Sam MontembeaultHAWAII PUNCH (HAW)G265/29/1997 6:14:00 AMNo220 Lbs6 ft4NoNoN/ANoYes3Pro & Farm702,000$53,656$40,000$3,057$70,200$5,366$No702,000$702,000$-------NoNo-------
T.J. BrodieHAWAII PUNCH (HAW)D336/7/1990No201 Lbs6 ft1NoNoN/ANoYes2Pro & Farm859,000$65,656$40,000$3,057$85,900$6,566$No859,000$--------No--------
Tomas JurcoHAWAII PUNCH (HAW)RW3112/28/1992 10:20:09 AMNo211 Lbs6 ft2NoNoN/ANoYes1Pro & Farm1,579,435$120,721$40,000$3,057$157,944$12,072$No------------------
Ty VoitHAWAII PUNCH (HAW)C/LW206/1/2003 8:14:46 AMYes185 Lbs6 ft1NoNoN/ANoNo2Pro & Farm500,000$38,217$40,000$3,057$50,000$3,822$No500,000$--------No--------
Vitek VanecekHAWAII PUNCH (HAW)G281/9/1996 5:07:45 AMNo200 Lbs6 ft3NoNoN/ANoYes2Pro & Farm650,000$49,682$40,000$3,057$65,000$4,968$No650,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3725.16201 Lbs6 ft22.22697,904$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesper BoqvistPhilip TomasinoDylan Guenther34113
2Lukas ReichelLogan CooleyConnor McMichael32014
3Tomas JurcoRyan PoehlingJan Jenik20122
4Matthew KniesJuuso PärssinenAndrei Altybarmakyan14113
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex VlasicRobert Bortuzzo40113
2Brycen MartinJett Woo34122
3Cameron WhynotT.J. Brodie20131
4Robert BortuzzoT.J. Brodie6122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesper BoqvistLogan CooleyPhilip Tomasino56005
2Lukas ReichelAndrei AltybarmakyanJan Jenik44104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex VlasicRobert Bortuzzo55113
2T.J. BrodieJett Woo45113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan PoehlingJesper Boqvist60122
2Philip TomasinoAndrei Altybarmakyan40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex VlasicRobert Bortuzzo60122
2T.J. BrodieCameron Whynot40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andrei Altybarmakyan50050Alex VlasicCameron Whynot50140
2Ryan Poehling50050T.J. BrodieJett Woo50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Logan CooleyJesper Boqvist60122
2Philip TomasinoLukas Reichel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex VlasicRobert Bortuzzo60122
2T.J. BrodieJett Woo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jesper BoqvistPhilip TomasinoMatthew KniesAlex VlasicRobert Bortuzzo
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan PoehlingLogan CooleyDylan GuentherAlex VlasicT.J. Brodie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Andrei Altybarmakyan, Tomas Jurco, Jan JenikAndrei Altybarmakyan, Tomas JurcoJan Jenik
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
T.J. Brodie, Cameron Whynot, Alex VlasicAlex VlasicT.J. Brodie, Alex Vlasic
Tirs de pénalité
Jan Jenik, Jesper Boqvist, Philip Tomasino, Logan Cooley, Tomas Jurco
Gardien
#1 : Vitek Vanecek, #2 : Eddie Lack
Lignes d’attaque personnalisées en prolongation
Lukas Reichel, Jesper Boqvist, Philip Tomasino, Logan Cooley, Tomas Jurco, Matthew Knies, Matthew Knies, Jan Jenik, Dylan Guenther, Ryan Poehling, Andrei Altybarmakyan
Lignes de défense personnalisées en prolongation
Alex Vlasic, T.J. Brodie, Cameron Whynot, Jett Woo, Robert Bortuzzo


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1BANGOR PUPPIES41201000171522010100067-121100000118340.5001724410045938818121614932798651292832739333.33%11372.73%0694151645.78%796163348.74%567118447.89%163592817517301413686
2BROOKLYN GRINDERS31100010121112100001010641010000025-340.667121628004593881892614932798657619209710440.00%10280.00%0694151645.78%796163348.74%567118447.89%163592817517301413686
3CALGARY WRANGLERS421000011715232100000151231000000123-150.6251729460045938818135614932798651283818958337.50%9366.67%1694151645.78%796163348.74%567118447.89%163592817517301413686
4CAPE BRETON LEPRECHAUNS330000001358110000006332200000072561.000132639004593881893614932798651073216705120.00%8187.50%0694151645.78%796163348.74%567118447.89%163592817517301413686
5CAPE FEAR WILDCATS411010011011-1210010007522010000136-350.625101525004593881810661493279865107563783900.00%16381.25%2694151645.78%796163348.74%567118447.89%163592817517301413686
6CHICAGO UNDERTAKERS413000001118-72110000077020200000411-720.2501116270045938818110614932798651335528938112.50%14564.29%1694151645.78%796163348.74%567118447.89%163592817517301413686
7COLORADO CUBS31200000914-51010000015-42110000089-120.33391423004593881810261493279865893110423266.67%5260.00%0694151645.78%796163348.74%567118447.89%163592817517301413686
8COQUITLAM EXPRESS631010012021-1320010001064311000011015-590.750203454004593881816861493279865179566211916318.75%22481.82%0694151645.78%796163348.74%567118447.89%163592817517301413686
9DETROIT STEELERS30300000613-72020000038-51010000035-200.000691500459388181006149327986510527357518211.11%10370.00%1694151645.78%796163348.74%567118447.89%163592817517301413686
10EDMONTON OILERS3100110013121210010009721000010045-150.833132437004593881890614932798659646296713215.38%12283.33%0694151645.78%796163348.74%567118447.89%163592817517301413686
11HALIFAX HELL31200000610-42020000038-51100000032120.333681400459388189461493279865723140616116.67%10370.00%0694151645.78%796163348.74%567118447.89%163592817517301413686
12LAS CRUCES MESCALEROS4210000110100210000015502110000055050.62510162600459388181196149327986511835221037114.29%11190.91%1694151645.78%796163348.74%567118447.89%163592817517301413686
13MANHATTAN SWEDES31200000411-71010000015-42110000036-320.333481200459388187361493279865113261477300.00%8187.50%0694151645.78%796163348.74%567118447.89%163592817517301413686
14NEWTON NIGHTHAWKS513000101116-52010001045-131200000711-440.40011172800459388181296149327986515651201194125.00%10370.00%0694151645.78%796163348.74%567118447.89%163592817517301413686
15NORTH VAN ROCKERS511010111213-13010101089-12100000144070.70012203200459388181626149327986515667739512216.67%14285.71%0694151645.78%796163348.74%567118447.89%163592817517301413686
16PENSACOLA BLACK BEARS523000001821-320200000814-632100000107340.40018304800459388181726149327986515355401096116.67%20670.00%0694151645.78%796163348.74%567118447.89%163592817517301413686
17PHILADELPHIA PHANTOMS2110000057-22110000057-20000000000020.50059140045938818676149327986570182038300.00%5260.00%0694151645.78%796163348.74%567118447.89%163592817517301413686
18PINCHER CREEK WOLVERINES30100110610-4100000103212010010038-530.500681400459388189261493279865932431735120.00%8187.50%0694151645.78%796163348.74%567118447.89%163592817517301413686
19SAN JOSE AVACADOES1010000034-1000000000001010000034-100.0003580045938818306149327986526882911100.00%4175.00%0694151645.78%796163348.74%567118447.89%163592817517301413686
20SYRACUSE BABY BULLS3010200012111200020009721010000034-140.667121931004593881810361493279865862717633133.33%6266.67%0694151645.78%796163348.74%567118447.89%163592817517301413686
21VANCOUVER THOUSANDAIRES824020002434-1030201000614-8522010001820-280.500243963004593881822461493279865265815218027725.93%21861.90%0694151645.78%796163348.74%567118447.89%163592817517301413686
Total79253409245239282-4340111608041126142-1639141801204113140-27830.5252393866250045938818238261493279865245781162417611763721.02%2345875.21%6694151645.78%796163348.74%567118447.89%163592817517301413686
_Since Last GM Reset79253409245239282-4340111608041126142-1639141801204113140-27830.5252393866250045938818238261493279865245781162417611763721.02%2345875.21%6694151645.78%796163348.74%567118447.89%163592817517301413686
_Vs Conference46142205023134168-3423511040216282-2023911010027286-14450.4891342143480045938818137261493279865146447338410041102119.09%1383773.19%3694151645.78%796163348.74%567118447.89%163592817517301413686
_Vs Division2479040226784-171124030202834-61355010023950-11280.58367110177004593881868361493279865756255207513591322.03%671774.63%0694151645.78%796163348.74%567118447.89%163592817517301413686

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7983W123938662523822457811624176100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7925349245239282
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4011168041126142
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3914181204113140
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1763721.02%2345875.21%6
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
6149327986545938818
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
694151645.78%796163348.74%567118447.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
163592817517301413686


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
28HAWAII PUNCH2COQUITLAM EXPRESS3ALXXSommaire du match
318CALGARY WRANGLERS3HAWAII PUNCH5BWSommaire du match
524HAWAII PUNCH4VANCOUVER THOUSANDAIRES3AWXSommaire du match
740VANCOUVER THOUSANDAIRES2HAWAII PUNCH3BWXSommaire du match
847HAWAII PUNCH3VANCOUVER THOUSANDAIRES2AWSommaire du match
1161NORTH VAN ROCKERS3HAWAII PUNCH4BWXSommaire du match
1276CHICAGO UNDERTAKERS1HAWAII PUNCH4BWSommaire du match
1383HAWAII PUNCH2NEWTON NIGHTHAWKS3ALSommaire du match
1596HAWAII PUNCH3DETROIT STEELERS5ALSommaire du match
17106COQUITLAM EXPRESS2HAWAII PUNCH4BWSommaire du match
19115HAWAII PUNCH3VANCOUVER THOUSANDAIRES4ALSommaire du match
20123HAWAII PUNCH2PENSACOLA BLACK BEARS1AWSommaire du match
22132CAPE FEAR WILDCATS2HAWAII PUNCH3BWSommaire du match
25150SYRACUSE BABY BULLS4HAWAII PUNCH5BWXSommaire du match
27163NORTH VAN ROCKERS4HAWAII PUNCH1BLSommaire du match
29174HAWAII PUNCH6PENSACOLA BLACK BEARS2AWSommaire du match
30185NORTH VAN ROCKERS2HAWAII PUNCH3BWXXSommaire du match
32197HAWAII PUNCH7BANGOR PUPPIES2AWSommaire du match
34205NEWTON NIGHTHAWKS2HAWAII PUNCH3BWXXSommaire du match
37220HAWAII PUNCH3NEWTON NIGHTHAWKS2AWSommaire du match
38228HAWAII PUNCH7COQUITLAM EXPRESS5AWSommaire du match
39237CHICAGO UNDERTAKERS6HAWAII PUNCH3BLSommaire du match
41248HAWAII PUNCH4BANGOR PUPPIES6ALSommaire du match
43258BANGOR PUPPIES3HAWAII PUNCH4BWXSommaire du match
45272SYRACUSE BABY BULLS3HAWAII PUNCH4BWXSommaire du match
46282HAWAII PUNCH3SYRACUSE BABY BULLS4ALSommaire du match
48293HAWAII PUNCH2NEWTON NIGHTHAWKS6ALSommaire du match
50303LAS CRUCES MESCALEROS2HAWAII PUNCH3BWSommaire du match
52318BANGOR PUPPIES4HAWAII PUNCH2BLSommaire du match
54329HAWAII PUNCH2PINCHER CREEK WOLVERINES3ALXSommaire du match
55339CAPE FEAR WILDCATS3HAWAII PUNCH4BWXSommaire du match
57350NEWTON NIGHTHAWKS3HAWAII PUNCH1BLSommaire du match
59360HAWAII PUNCH1LAS CRUCES MESCALEROS2ALSommaire du match
61370HAWAII PUNCH2CAPE FEAR WILDCATS3ALXXSommaire du match
64381LAS CRUCES MESCALEROS3HAWAII PUNCH2BLXXSommaire du match
66393HAWAII PUNCH3HALIFAX HELL2AWSommaire du match
68404PENSACOLA BLACK BEARS6HAWAII PUNCH3BLSommaire du match
69414HAWAII PUNCH4EDMONTON OILERS5ALXSommaire du match
71424MANHATTAN SWEDES5HAWAII PUNCH1BLSommaire du match
74441DETROIT STEELERS5HAWAII PUNCH1BLSommaire du match
75447HAWAII PUNCH1MANHATTAN SWEDES5ALSommaire du match
77458HAWAII PUNCH4LAS CRUCES MESCALEROS3AWSommaire du match
79470HAWAII PUNCH1COQUITLAM EXPRESS7ALSommaire du match
80479COQUITLAM EXPRESS3HAWAII PUNCH4BWXSommaire du match
82491COQUITLAM EXPRESS1HAWAII PUNCH2BWSommaire du match
83501HAWAII PUNCH2MANHATTAN SWEDES1AWSommaire du match
85513HAWAII PUNCH1CAPE FEAR WILDCATS3ALSommaire du match
87523EDMONTON OILERS2HAWAII PUNCH3BWSommaire du match
88530HAWAII PUNCH1CHICAGO UNDERTAKERS4ALSommaire du match
92548BROOKLYN GRINDERS3HAWAII PUNCH4BWXXSommaire du match
94560PINCHER CREEK WOLVERINES2HAWAII PUNCH3BWXXSommaire du match
97576PENSACOLA BLACK BEARS8HAWAII PUNCH5BLSommaire du match
99588HAWAII PUNCH2PENSACOLA BLACK BEARS4ALSommaire du match
101596CALGARY WRANGLERS4HAWAII PUNCH3BLSommaire du match
103611HAWAII PUNCH3CHICAGO UNDERTAKERS7ALSommaire du match
104618HAWAII PUNCH2COLORADO CUBS5ALSommaire du match
105627CAPE BRETON LEPRECHAUNS3HAWAII PUNCH6BWSommaire du match
107641HAWAII PUNCH5VANCOUVER THOUSANDAIRES3AWSommaire du match
109649COLORADO CUBS5HAWAII PUNCH1BLSommaire du match
111663HAWAII PUNCH2CALGARY WRANGLERS3ALXXSommaire du match
112671VANCOUVER THOUSANDAIRES7HAWAII PUNCH2BLSommaire du match
114684VANCOUVER THOUSANDAIRES5HAWAII PUNCH1BLSommaire du match
116693HAWAII PUNCH3VANCOUVER THOUSANDAIRES8ALSommaire du match
118708BROOKLYN GRINDERS3HAWAII PUNCH6BWSommaire du match
120720HAWAII PUNCH2BROOKLYN GRINDERS5ALSommaire du match
121729CALGARY WRANGLERS5HAWAII PUNCH7BWSommaire du match
123739HAWAII PUNCH3SAN JOSE AVACADOES4ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
125752PHILADELPHIA PHANTOMS3HAWAII PUNCH0BLSommaire du match
127765HAWAII PUNCH4CAPE BRETON LEPRECHAUNS1AWSommaire du match
128774EDMONTON OILERS5HAWAII PUNCH6BWXSommaire du match
130783HAWAII PUNCH6COLORADO CUBS4AWSommaire du match
132794HALIFAX HELL4HAWAII PUNCH2BLSommaire du match
134806HAWAII PUNCH3CAPE BRETON LEPRECHAUNS1AWSommaire du match
136820DETROIT STEELERS3HAWAII PUNCH2BLSommaire du match
138835HAWAII PUNCH1PINCHER CREEK WOLVERINES5ALSommaire du match
139840HAWAII PUNCH3NORTH VAN ROCKERS2AWSommaire du match
140848HALIFAX HELL4HAWAII PUNCH1BLSommaire du match
143862HAWAII PUNCH1NORTH VAN ROCKERS2ALXXSommaire du match
145870PHILADELPHIA PHANTOMS4HAWAII PUNCH5BWSommaire du match
147883SAN JOSE AVACADOES-HAWAII PUNCH-
151902HAWAII PUNCH-PHILADELPHIA PHANTOMS-
153905SAN JOSE AVACADOES-HAWAII PUNCH-
154909HAWAII PUNCH-DETROIT STEELERS-
155914HAWAII PUNCH-PHILADELPHIA PHANTOMS-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance78,81239,703
Assistance PCT98.52%99.26%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 2963 - 98.76% 83,849$3,353,965$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,998,143$ 2,582,244$ 148,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,582,244$ 2,259,307$ 37 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
167,698$ 12 21,543$ 258,516$




HAWAII PUNCH Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

HAWAII PUNCH Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

HAWAII PUNCH Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

HAWAII PUNCH Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

HAWAII PUNCH Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA